Chang Da
Impact in
- Ocean Engineering top 0.5%
- Enhanced Oil Recovery Techniques
- Analytical Chemistry top 1%
- Petroleum Processing and Analysis
Papers in
-
- Enhanced Oil Recovery Techniques 23
-
- Pickering emulsions and particle stabilization 10
- Co-authors
- Keith P. Johnston (17 shared papers)Shehab Alzobaidi (12 shared papers)Sibani Lisa Biswal (8 shared papers)George J. Hirasaki (8 shared papers)Guoqing Jian (5 shared papers)Kun Ma (2 shared papers)Leilei Zhang (4 shared papers)Maša Prodanović (3 shared papers)
- Journals
- Journal of Colloid and Interface Science (7 papers)Langmuir (4 papers)Energy & Fuels (3 papers)Journal of Petroleum Science and Engineering (2 papers)MRS Communications (1 paper)
- Partner nations
- United StatesChinaUnited Arab Emirates
In The Last Decade
Chang Da
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Ocean Engineering 894
- Analytical Chemistry 323
- Mechanics of Materials 431
- Environmental Engineering 159
- Mechanical Engineering 325
Countries citing papers authored by Chang Da
This map shows the geographic impact of Chang Da's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chang Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Da more than expected).
Fields of papers citing papers by Chang Da
This network shows the impact of papers produced by Chang Da. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chang Da. The network helps show where Chang Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang Da, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 182 | |
| 2 | 2016 | 105 | |
| 3 | 2018 | 104 | |
| 4 | 2020 | 80 | |
| 5 | 2015 | 75 | |
| 6 | 2016 | 70 | |
| 7 | 2019 | 69 | |
| 8 | 2018 | 63 | |
| 9 | 2018 | 50 | |
| 10 | 2018 | 39 | |
| 11 | 2022 | 33 | |
| 12 | 2020 | 32 | |
| 13 | 2022 | 28 | |
| 14 | 2020 | 26 | |
| 15 | 2018 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2021 | 20 | |
| 18 | 2022 | 20 | |
| 19 | 2021 | 18 | |
| 20 | 2008 | 18 |
About Chang Da
Chang Da is a scholar working on Ocean Engineering, Materials Chemistry, Organic Chemistry, Mechanical Engineering and Analytical Chemistry, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (23 papers), Surfactants and Colloidal Systems (10 papers), Pickering emulsions and particle stabilization (10 papers), Petroleum Processing and Analysis (8 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers), Hydrocarbon exploration and reservoir analysis (7 papers), Navier-Stokes equation solutions (1 paper) and Iron oxide chemistry and applications (1 paper). The work is most often cited by research in Ocean Engineering (894 citations), Analytical Chemistry (323 citations), Mechanics of Materials (431 citations), Environmental Engineering (159 citations) and Mechanical Engineering (325 citations). Chang Da has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Keith P. Johnston, Shehab Alzobaidi, Sibani Lisa Biswal, George J. Hirasaki, Guoqing Jian, Kun Ma, Leilei Zhang, Maša Prodanović, Leyu Cui and Tianlong Wang. Their work appears in journals such as Journal of Colloid and Interface Science, Langmuir, Energy & Fuels, Journal of Petroleum Science and Engineering and MRS Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.